Top Tweets for #100daysofDataScience
Day 15 of #100DaysOfDataScience
Started learning Statistics today.
The deeper I go into Data Science,
the more I realize:
Machine Learning is mostly about understanding data properly.
Covered:
Variance
Standard Deviation
Z-Score
Probability
Outliers
Strong fundamentals first.
Day14 #100DaysOfDataScience π
13 days of consistency.
Learned:
β’Python,NumPy,Pandas
β’Matplotlib,Seaborn,Plotly
β’EDA & Data Visualization
β’Built IPL & Netflix projects
β’Started my first Data Science internship
Next:
Statistics
MachineLearning
Consistency > Motivation.
Day 99/100
Applied data visualization on real datasets today
Bringing everything together, models, DAX & dashboards
Data - insights - decisions
#100DaysOfDataScience #PowerBI #DataAnalytics
Day 96/100
Continued DAX today
Worked on mathematical calculations & core operations
Turning numbers into insights
#100DaysOfDataScience #PowerBI #DAX
Day 88/100
Worked with Date & Time in Power BI π
Extracted day, week, quarter & explored fuzzy matching
Time-based data unlocks deeper insights π
#100DaysOfDataScience #PowerBI #DataAnalytics
Day 25 of #100DaysOfDataScience π
Student Performance Analysis using K-Means
Data preprocessing & feature selection
Feature scaling
Applied K-Means clustering
Identified 3 groups: Struggling, Average & Top Performers
Cluster analysis & insights
#DataScience #MachineLearning #AI
Day 24 of #100DaysOfDataScience π
Started Diabetes Prediction using Logistic Regression π©Ί
Data cleaning & preprocessing
Feature scaling
Model training & evaluation
Saved model using joblib
#DataScience #MachineLearning #Python #LogisticRegression #AI
Day 80/100
Milestone Day, 20 days to goππ
Started data transformation in Power BI
Clean data = better insights
Power Query is powerful β‘
#100DaysOfDataScience #PowerBI #DataAnalytics
Day 20 of #100DaysOfDataScience π
Built Complete Logistic Regression model on Titanic dataset π’
Model training & prediction
Saved & loaded model using joblib
Evaluated using accuracy & confusion matrix
#DataScience #MachineLearning #Python #LogisticRegression #AI
Day 75/100
Started Power BI today π
Moving from SQL to data visualization & dashboards.
New phase, same consistency πͺ
#100DaysOfDataScience #PowerBI #DataAnalytics
Day 19 of #100DaysOfDataScience π
Started Titanic Survival Prediction using Logistic Regression π’
Data preprocessing
Handled missing values
Preparing dataset for model
#DataScience #MachineLearning #Python #LogisticRegression
Day 18 of #100DaysOfDataScience π
Visualized Linear Regression model performance π
Check out the code execution and output in the video π
#DataScience #MachineLearning #Python #LinearRegression #AI #CodingJourney
GitHub : https://t.co/27SP2zkV0F
Day 18 of #100DaysOfDataScience π
Analyzed Linear Regression model performance π
Checked feature coefficients
Compared actual vs predicted values
Visualized results using scatter plot
#DataScience #MachineLearning #Python #LinearRegression #AI
Day 71/100
Focused on INNER JOIN today.
Learned how to combine tables and return only matching records.
Getting better at working with relational data.
#100DaysOfDataScience #SQL #DataAnalytics
Day 16 of #100DaysOfDataScience π
Worked on an Advertising dataset and built a Linear Regression model to predict sales. π
Cleaned dataset
Checked missing values
Analyzed statistical summary
Explored correlation between features
#DataScience #ML #Python #LinearRegression
Day 67/100
Practiced SQL multi-table queries using the Ecommerce dataset.
Goal: Get customer info, Count total orders & Calculate total amount.
Used: LEFT JOIN, COUNT & SUM, Arithmetic operations, GROUP BY & ORDER BY
Turning raw data into insights.
#100DaysOfDataScience #SQL
Day 66/100
Practiced SQL joins across multiple tables.
Goal:
- Get order details
- Add product name
- Add category name
Used LEFT JOIN to connect order_details, products and categories.
Learning how to structure multi-table queries well.
#100DaysOfDataScience #SQL #DataAnalytics
Day 60/100
Continued practicing SQL single-table queries using the Ecommerce dataset.
Today I worked with: HAVING clause, CASE with single conditions, CASE with multiple conditions.
Learning how to do better filtering to SQL queries.
#100DaysOfDataScience #SQL #DataAnalytics
Day 53/100 β SQL: Querying Single Tables
Today I learned how to query data from a single table in SQL.
Focused on:
β’ Retrieving specific columns
β’ Filtering data
β’ Understanding table structure
Building a stronger SQL foundation.
#100DaysOfDataScience #SQL #DataAnalytics
Day 50/100 β Introduction to SQL
Major Milestoneππ
Today was just theory.
Focused on:
β’ What SQL is
β’ How databases work
β’ Core commands
β’ Why SQL matters in data
Halfway through the challenge.
Consistency > Motivation.
#100DaysOfDataScience #SQL
Last Seen Hashtags on Sotwe
flash #nsfw
Seen from Chile
knottygirl
Seen from Ireland
auxiouspanda
Seen from United Kingdom
shilpabenrabari
Seen from United States
ΰΈΰΈ§ΰΈ’ΰΈͺΰΈ§ΰΈ’
Seen from Thailand
zentai
Seen from Germany
verllyaling
Seen from United States
ensestpaylaΕΔ±m
Seen from Turkey
Ψ³Ψ§ΩΨ¨_Ψ§ΩΨ±ΩΨ§ΨΆ
Seen from Saudi Arabia
omegle
Seen from Brazil
Most Popular Users
Elon Musk 
@elonmusk
241.5M followers
Barack Obama
@barackobama
118.9M followers
Cristiano Ronaldo
@cristiano
114.6M followers
Donald J. Trump
@realdonaldtrump
111.8M followers
Narendra Modi
@narendramodi
107.1M followers
Rihanna
@rihanna
98.7M followers
NASA
@nasa
92.3M followers
Justin Bieber
@justinbieber
91.8M followers
KATY PERRY
@katyperry
90.1M followers
Taylor Swift
@taylorswift13
84M followers
Lady Gaga
@ladygaga
75.5M followers
Virat Kohli
@imvkohli
73.5M followers
Kim Kardashian
@kimkardashian
70.9M followers
YouTube
@youtube
68.8M followers
Neymar Jr
@neymarjr
66.6M followers
Bill Gates
@billgates
65.3M followers
Selena Gomez
@selenagomez
63.1M followers
The Ellen Show
@theellenshow
62.2M followers
CNN
@cnn
61.8M followers
X
@x
60.7M followers